Publication:
Analysis of JestKOD database using affective state annotations

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dc.conference.dateMAY 16-19, 2016
dc.conference.locationZonguldak, TURKEY
dc.conference.organizer24th Signal Processing and Communication Application Conference (SIU)
dc.contributor.coauthorN/A
dc.contributor.departmentMVGL (Multimedia, Vision and Graphics Laboratory)
dc.contributor.facultymemberYes
dc.contributor.kuauthorErzin, Engin
dc.contributor.kuauthorKeçeci, Sinan
dc.contributor.kuauthorYemez, Yücel
dc.contributor.schoolcollegeinstituteLaboratory
dc.date.accessioned2024-11-09T23:45:16Z
dc.date.issued2016
dc.description.abstractGesticulation, together with the speech, is an important part of natural and affective human-human interaction. Analysis of gesticulation and speech is expected to help designing more natural human-computer interaction (HCI) systems. We build the JestKOD database, which consists of speech and motion capture recordings of dyadic interactions. In this paper we describe our annotation efforts and present the evaluations that we performed on the annotations of the JestKOD database. These evaluations suggest important findings for usability of the JestKOD database in analysis and modeling of HCI systems.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipBu çalışma TÜBİTAK tarafından 113E102 no’lu proje kapsamında desteklenmiştir.
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1109/SIU.2016.7495919
dc.identifier.embargoN/A
dc.identifier.endpage1036
dc.identifier.grantno113E102
dc.identifier.isbn9781509016792
dc.identifier.scopus2-s2.0-84982787194
dc.identifier.startpage1033
dc.identifier.urihttps://doi.org/10.1109/SIU.2016.7495919
dc.identifier.urihttps://hdl.handle.net/20.500.14288/13804
dc.identifier.wos000391250900235
dc.keywordsAffective state tracking
dc.keywordsAnimation
dc.keywordsComputer-human interaction
dc.keywordsGesticulation
dc.keywordsMachine learning
dc.keywordsSpeech
dc.language.isotur
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartof2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectEngineering
dc.subjectElectrical and electronic engineering
dc.subjectComputer science
dc.titleAnalysis of JestKOD database using affective state annotations
dc.title.alternativeJestKOD veritabanının duygu durum etiketlemelerini kullanarak analizi
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorKeçeci, Sinan
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorYemez, Yücel
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relation.isParentOrgUnitOfPublication20385dee-35e7-484b-8da6-ddcc08271d96
relation.isParentOrgUnitOfPublication.latestForDiscovery20385dee-35e7-484b-8da6-ddcc08271d96

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